Interval Valued Intuitionistic Fuzzy Sets in Medical Diagnosis

Abstract

Diagnostic decisions in medicine involve a variety of uncertainties related to the symptoms of patients and relation of symptoms and diseases. De et. al. [Fuzzy Sets and Systems vol.117 (2001) 209-213] have given intuitionistic fuzzy set theoretic approach for medical diagnosis. Interval estimation for membership functions may prove better than their point estimation approach in covering the uncertainties. Present paper defines composition rule of inference for interval valued intuitionistic fuzzy relations to extend the approach of De et.al to IVIFS. The work also introduces the concept of positive and negative ideal for IVIFS to reach the final decision on diagnosis.